T.Manikyala Rao, Dr. Ch. Srinivasa Rao
Jawaharlal Nehru Technological University,Vijayanagaram, India

With the increase of modest technology, copy-move forgery detection has grown in a rapid rate that newera of forged images came true which has the same resemblance as the old ones i.e. difficult to find out with naked human perception. Fake currency detection is one in the effect that currency note is tampered in a way such it has the similar resemblance as the original one. So in order to find out the duplicate or forged portion of the image we go for different splicing algorithms using different techniques. Image forgery results to various security issues. Hence an efficient algorithm is required to detect the forgery in images. By using DCT algorithm blocks of the image are represented by DCT coefficients. Presence of blocking articrafts in DCT makes the method to be a drawback. Hence we propose DWT for segmentation of image. Lexicographical sorting is utilized to find out the cloned image blocks. Finally normalization is applied to find the distance in between similar vectors. In DWT provides better resolution and segmentation compared with DCT. In this paper, due to DWT, Image Forgery detection is done on low-level image representation. By using DWT better accuracy in finding out the forgery is achieved in a less time which gradually reduces complexity

Fake Currency detection, DCT, DWT